Autocomplete System with Trie
📖 Scenario: You are building a simple autocomplete system like the ones used in search engines or messaging apps. When a user types a few letters, the system suggests words that start with those letters.To do this efficiently, you will use a Trie data structure, which stores words in a tree-like form where each node represents a letter.
🎯 Goal: Create a Trie to store a list of words, then write a function to find all words in the Trie that start with a given prefix. Finally, print the list of suggested words for a sample prefix.
📋 What You'll Learn
Create a TrieNode struct with a map for children and a boolean to mark end of word
Insert given words into the Trie
Write a function to find all words starting with a given prefix
Print the list of autocomplete suggestions for the prefix "app"
💡 Why This Matters
🌍 Real World
Autocomplete systems help users type faster by suggesting words based on what they start typing. Tries are efficient for prefix searches in dictionaries, search engines, and text editors.
💼 Career
Understanding Tries and autocomplete logic is useful for software engineers working on search features, text input interfaces, and performance optimization in applications.
Progress0 / 4 steps